Salary Distribution by Programming Language

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import ptitprince as pt

np.random.seed(118)
BG_COLOR = '#0a0a0f'
TEXT_COLOR = 'white'
COLORS = ['#F5D327', '#27D3F5', '#F5276C', '#6CF527']

langs = ['Python', 'JavaScript', 'Rust', 'Go']
data = pd.DataFrame({
    'Salary': np.concatenate([
        np.random.normal(145, 35, 100),
        np.random.normal(130, 40, 120),
        np.random.normal(165, 30, 60),
        np.random.normal(155, 32, 70)
    ]),
    'Language': ['Python']*100 + ['JavaScript']*120 + ['Rust']*60 + ['Go']*70
})

fig, ax = plt.subplots(figsize=(10, 6), facecolor=BG_COLOR)
ax.set_facecolor(BG_COLOR)

pt.RainCloud(x='Language', y='Salary', data=data, palette=COLORS,
             bw=.2, width_viol=.6, ax=ax, orient='h', alpha=.65,
             dodge=True, pointplot=False, move=.2)

ax.set_xlabel('Annual Salary ($K)', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Language', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('Developer Salary by Language', fontsize=14, color=TEXT_COLOR, fontweight='bold', pad=15)

ax.tick_params(colors='#888', labelsize=10)
for spine in ax.spines.values():
    spine.set_color('#333')

plt.tight_layout()
plt.show()